Standard Energy Efficiency Data Platform™
SEED PLATFORMTM 2.0
Overview
Building Energy Data Management Tool
• Web based platform
• Open source code
• https://github.com/seed-platform
• Funded by U.S. Department of Energy
• Supported by
• National Renewable Energy Laboratory (NREL)
• Lawrence Berkeley National Laboratory (LBNL)
• Third party software contributors
Overview
Getting Started with SEED
• Support Website
• https://seed-platform.org/
• Web based platform
• Stand up your own instance (AWS or internal servers)
• Developer documentation
https://seed-platform.org/developer_resources/
• Use a web hosting service
• https://seed-platform.org/technical_ally/
• Test account through LBNL
• User documentation
• https://seed-platform.org/documentation/
• https://seed-platform.org/getting_started/
Data Management
Data Management
Collect Data from different sources and merge them together
• Files
• “flat” (CSV, Excel) -- one record per building
• XML options for data to attach to the building -- GreenButton, BuildingSync, HPXML
• There is no restriction on number of fields or field types
• At least ONE field must be common between the data files to match
the records (Address, Tax Lot ID, Building ID).
• This makes it possible to import data files with very different data, and
connect them together
• Data is imported and matched based on a user-defined time period
• Once the data files have been matched together, it is possible to query
the results for various uses.
Data Management
SEED has the following features after data is imported and matched
• Data Quality Checking
• User defined checks for field ranges
• Check at time of mapping and later on final inventory
• Automatically adds labels to problem data (as defined by user)
• Filtering
• Essentially querying the data
• Can filter on labels
• Labels
• Can add labels to records for categorizing
• API (Application Programming Interface) Connections for other applications
Primary Current Use Case
Energy Benchmarking
• Commercial Buildings (primarily)
• Residential Buildings (as long as the data is “flat”)
Used by Jurisdictions with Benchmarking Req’ts to produce:
• Annual Benchmarking Disclosure Report
• Building or Tax Lot status relative to Benchmarking req’t
• List of Violations
• Buildings or Tax lots that did not comply with req’t
• Annual Report of Building Stock Performance
• Analysis of building stock energy consumption by any
characteristic represented in the merged data (floor area,
sector, age)
Data Management
Benchmarking Workflow
• Import data from different sources• Building / Property List
• Tax assessor lists
• Costar Data
• Benchmarking data• Portfolio Manager Data
• Match data from different sources• There must be at least one common field to match on
• Handle data with different types of relationships• Tax Assessor data defined by Lot/Parcel
vs
• CoStar or Portfolio Manager data defined by buildings
• Maintain data based on compliance year
SEED Workflow
Import data(by Cycle)
Map fields(define fields for matching records)
Merge & pair data
View Inventory (Tax Lot and Property data)
Filter / Label Inventory
Export Data
Physical reality of the data
The relationship of Buildings to Parcels/Tax Lots can be complicated
Data Model Schematic
Tax Lot
Tax Lot History
Tax Lot View
Property View
Property
Tax Lot - Property Many 2 Many
● View different states in time● Many to many relationship between Tax Lot data and Building/Portfolio Manager data● Viewing Tax Lot and Property data combined / rolled up
Views point to the most current version of the data
for a given time period (reporting cycle)
Audits track the history of changes
to records
PropertyHistory
Building is renamed “Property” to capture both single building
and campus scenarios
M2M table tracks relationship between
tax lots and properties over time
Reporting Cycle
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